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Hard Challenges to Realising Living Analytics Requiring Deep Applied R&D
1. Social & Management Science Challenges
- Understanding behavioural choices, preferences and intent of individuals, in the context of networks of individuals
- Designing & delivering guidance and incentives
- Evaluating how participants respond to guidance & incentives
- Plus the practicalities of getting access to participant communities obtaining permissions and data
2. Technical Challenges
- Observation, Analytics, Prediction, Guidance and Learning
- In near real-time
- At scale
- Across multiple sources and types of data, across physical and virtual worlds
- Across multiple contexts, and extended time periods
- Down to an individual level of granularity
- While preserving privacy
- Economically – so that firms can eventually afford to make use of these powerful capabilities
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